{"id":"W4285730436","doi":"10.1073/pnas.2122153119","title":"Three problems in the genetics of speciation by selection","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Selection (genetic algorithm); Genetic algorithm; Evolutionary biology; Biology; Genetics; Computational biology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082379,0.0009567117,0.001510094,0.001305234,0.002227489,0.004318892,0.002085168,0.004504664,0.002471391],"category_scores_gemma":[0.01179167,0.0004294903,0.001323599,0.000889704,0.02165389,0.006286922,0.004106371,0.01031037,0.001037603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582652,"about_ca_system_score_gemma":0.001583458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701958,"about_ca_topic_score_gemma":0.001168933,"domain_scores_codex":[0.9952389,0.001892109,0.0002506653,0.0008916801,0.001441526,0.0002851753],"domain_scores_gemma":[0.9927846,0.004657354,0.0006096425,0.0008958054,0.0006503998,0.0004021126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000634157,0.00002780949,0.002159489,0.0002692605,0.00008621221,0.0003079615,0.001661185,0.001585109,0.001723008,0.926029,0.01260915,0.05347842],"study_design_scores_gemma":[0.00002327559,0.0000536408,0.000690645,0.00007555429,0.00002248241,0.0003636844,0.0003960971,0.001034572,0.0006667653,0.9343184,0.06230667,0.00004824521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01840176,0.0548526,0.2080112,0.6752781,0.009393667,0.00005251963,0.0001239868,0.000671096,0.03321505],"genre_scores_gemma":[0.481144,0.06027057,0.2084291,0.1833522,0.02016935,0.0005445897,0.0001968512,0.0007198322,0.0451735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01082379,"threshold_uncertainty_score":0.05724233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062932644140085,"score_gpt":0.2737064717482589,"score_spread":0.253077145306858,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}